Cue-invariant geometric structure of the population codes in macaque V1 and V2
Zitong Wang, Xiaoqi Zhang, Corentin Massot, Harold Rockwell, George Papandreou, Alan Yuille, Tai-Sing Lee · COSYNE 2025
Our ability to recognize objects and natural scenes whether depicted in photographs, cartoons, or just line drawings (a.k.a. visual cues) is remarkable. Here, we investigated the representation of a set of surface boundary shapes rendered in different visual cues by macaque V1 and V2 neurons. Specifically, we investigated whether the geometric structure of the population code could support the formation of a cue-invariant representation of abstract surface boundary concepts. A visual concept refers to an abstract feature, such as a boundary or contour, that remains consistent across different